• Title/Summary/Keyword: Database Evaluation

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Improvement of Methodology for Appraising Tram Projects Considering the Effect of Buses (노선버스 영향을 고려한 트램사업 투자평가방법론 개선 연구)

  • Choi, Ji Ho;Chung, Sung Bong;Bae, Tae Hee;Myung, Myo Hee
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.41 no.1
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    • pp.85-91
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    • 2021
  • In contrast to standard train tracks, tramlines are often set along public roads, with trams running among pedestrians and other vehicles. In some cities and towns, trams and buses share the same routes and stations. Under the current investment appraisal system, trams are classified into light rail when predicting traffic demand and calculating benefits, but in the case of non-capital areas, it is notable that the origin-destination and transit lines of buses are not provided in the Korea Transport Database distribution data. Due to this problem, it is difficult to reflect proper mode changing behaviors between route buses and trams. This study examines the impact on tramlines of bus routes that are not currently considered in non-capital areas. Following an analysis of the effect of tram projects according to whether bus routes are considered or not, an improvement in methodology is proposed. Through this study, it is expected that the investment appraisal system for the planning of new tramlines will be improved in the future.

Research Trends of Randomized Controlled Trial Studies on the Herbal Treatment of Avascular Necrosis of the Femoral Head Using China National Knowledge Infrastructure Database (대퇴골두 무혈성 괴사의 탕약 치료에 대한 무작위대조군 연구의 최신 경향 분석: 중국지망(中國知網) 검색을 중심으로)

  • Kim, Hyeon-Jin;Ahn, Jae-Young;Shin, Na-Young;Koh, Ah-Ra;Lee, Young-Jin;Park, Jae-Eun;Lee, Min-Cheol;Jeon, Myung-Kyu;Kim, Hyun-Woo;Jo, Hye-Jeong;Chae, Go-Eun;Nam, Hye-Jin
    • Journal of Korean Medicine Rehabilitation
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    • v.32 no.3
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    • pp.37-53
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    • 2022
  • Objectives This study was conducted to investigate a randomized controlled trial study on the clinical treatment of herbal medicines for avascular necrosis of the femoral head. Methods By March 2022, the China National Knowledge Infrastructure (CNKI) was reviewed about randomized controlled trial studies on the herbal treatment of avascular necrosis of the femoral head through. The publication year, evaluation criteria, treatment period, treatment method and effectiveness were analyzed for articles published from 2017 to 2022. Results 16 articles were selected and 14 kinds of herbal medicines were used. In most studies, Western medical treatments such as injection therapy, oral drug administration, traction therapy and mid-frequency electric therapy were treated alone in the control group, and a combination of Western medical treatment and herbal treatment was administered to the experimental group. Conclusions In China, there have been many studies on herbal treatment for avascular necrosis of the femoral head. In Korea, more clinical studies on the herbal treatment of avascular necrosis of the femoral head are needed. This study will be helpful for future research in Korean medicine on avascular necrosis of the femoral head.

A Comparative Study on the Object Detection of Deposited Marine Debris (DMD) Using YOLOv5 and YOLOv7 Models (YOLOv5와 YOLOv7 모델을 이용한 해양침적쓰레기 객체탐지 비교평가)

  • Park, Ganghyun;Youn, Youjeong;Kang, Jonggu;Kim, Geunah;Choi, Soyeon;Jang, Seonwoong;Bak, Suho;Gong, Shinwoo;Kwak, Jiwoo;Lee, Yangwon
    • Korean Journal of Remote Sensing
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    • v.38 no.6_2
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    • pp.1643-1652
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    • 2022
  • Deposited Marine Debris(DMD) can negatively affect marine ecosystems, fishery resources, and maritime safety and is mainly detected by sonar sensors, lifting frames, and divers. Considering the limitation of cost and time, recent efforts are being made by integrating underwater images and artificial intelligence (AI). We conducted a comparative study of You Only Look Once Version 5 (YOLOv5) and You Only Look Once Version 7 (YOLOv7) models to detect DMD from underwater images for more accurate and efficient management of DMD. For the detection of the DMD objects such as glass, metal, fish traps, tires, wood, and plastic, the two models showed a performance of over 0.85 in terms of Mean Average Precision (mAP@0.5). A more objective evaluation and an improvement of the models are expected with the construction of an extensive image database.

Evaluation of Stent Apposition in the LVIS Blue Stent-Assisted Coiling of Distal Internal Carotid Artery Aneurysms : Correlation with Clinical and Angiographic Outcomes

  • Kwon, Min-Yong;Ko, Young San;Kwon, Sae Min;Kim, Chang-Hyun;Lee, Chang-Young
    • Journal of Korean Neurosurgical Society
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    • v.65 no.6
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    • pp.801-815
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    • 2022
  • Objective : To evaluate the stent apposition of a low-profile visualized intraluminal support (LVIS) device in distal internal carotid artery (ICA) aneurysms, examine its correlation with clinical and angiographic outcomes, and determine the predictive factors of ischemic adverse events (IAEs) related to stent-assisted coiling. Methods : We retrospectively analyzed a prospectively maintained database of 183 patients between January 2017 and February 2020. The carotid siphon from the cavernous ICA to the ICA terminus was divided into posterior, anterior, and superior bends. The anterior bends were categorized into angled (V) and non-angled (C, U, and S) types depending on the morphology and measured angles. Complete stent apposition (CSA) and incomplete stent apposition (ISA) were evaluated using unsubtracted angiography and flat-panel detector computed tomography. Dual antiplatelet therapy with aspirin 200 mg and clopidogrel 75 mg was administered. Clopidogrel resistance was defined as fewer responders (≥10%, <40%) and non-responders (<10%) based on the percent inhibition (%INH) of the VerifyNow system. These were counteracted by a dose escalation to 150 mg for fewer responders or substitution with cilostazol 200 mg for non-responders. IAEs included intraoperative in-stent thrombosis, transient ischemic attack, cerebral infarction, and delayed in-stent stenosis. A multivariate logistic regression analysis was used to determine the predictive factors for ISA and IAEs. Results : There were 33 ISAs (18.0%) and 27 IAEs (14.8%). The anterior bend angle was narrower in ISA (-4.16°±25.18°) than in CSA (23.52°±23.13°) (p<0.001). The V- and S-types were independently correlated with the ISA (p<0.001). However, treatment outcomes, including IAEs (15.3% vs. 12.1%), aneurysmal complete occlusion (91.3% vs. 88.6%), and recanalization (none of them), did not differ between CSA and ISA (p>0.05). The %INH of 27 IAEs (13.78%±14.78%) was significantly lower than that of 156 non-IAEs (26.82%±20.23%) (p<0.001). Non-responders to clopidogrel were the only significant predictive factor for IAEs (p=0.001). Conclusion : The angled and tortuous anatomical peculiarity of the carotid siphon caused ISA of the LVIS device; however, it did not affect clinical and angiographic outcomes, while the non-responders to clopidogrel affected the IAEs related to stent-assisted coiling.

Predicting Concentrations of Soil Pollutants and Mapping Using Machine Learning Algorithms (기계학습을 통한 토양오염물질 농도 예측 및 분포 매핑)

  • Kang, Hyewon;Park, Sang Jin;Lee, Dong Kun
    • Journal of Environmental Impact Assessment
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    • v.31 no.4
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    • pp.214-225
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    • 2022
  • This study emphasized the soil of environmental impact assessment to devise measures to minimize the negative impact of project implementation on the environment. As a series of efforts for impact assessment procedures, a national inventory-based database was established for urban development projects, and three machine learning model performance evaluation as well as soil pollutant concentration distribution mapping were conducted. Here, nine soil pollutants were mapped to the metropolitan area of South Korea using the Random Forest model, which showed the best performance. The results of this study found that concentrations of Zn, F, and Cd were relatively concerned in Seoul, where urbanization is the most active. In addition, in the case of Hg and Cr6+, concentrations were detected below the standard, which was derived from a lack of pollutants such as industrial and industrial complexes that affect contents of heavy metals. A significant correlation between land cover and pollutants was inferred through the spatial distribution mapping of soil pollutants. Through this, it is expected that efficient soil management measures for minimizing soil pollution and planning decisions regarding the location of the project site can be established.

Usual intake of dietary isoflavone and its major food sources in Koreans: Korea National Health and Nutrition Examination Survey 2016-2018 data

  • Kim, Yoona;Kim, Dong Woo;Kim, Kijoon;Choe, Jeong-Sook;Lee, Hae-Jeung
    • Nutrition Research and Practice
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    • v.16 no.sup1
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    • pp.134-146
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    • 2022
  • BACKGROUND/OBJECTIVES: Accumulating evidence has shown the beneficial effects of isoflavone on health. There is limited information on the usual isoflavone intake for Koreans. This study examined the usual intake of total isoflavone and its major food sources in Koreans according to age and gender. SUBJECTS/METHODS: The dietary intake data of 21,271 participants aged 1 yrs and older from the Korea National Health and Nutrition Examination Survey (KNHANES) VII 2016-2018 were analyzed. The average isoflavone intake was estimated based on the 24-h dietary recall data in KNHANES and the isoflavone database from the Korea Rural Development Administration (RDA) and literatures. The usual isoflavone intake was estimated by applying the ratio of within- and between-participant variance estimated from the 2009 KNHANES data to the 7th KNHANES (2016-2018) data. The variance of the isoflavone intake was calculated using MIXTRAN macro with intake data for two days in the 2009 KNHANES. Complex sample analysis with stratified variables and integrated weights was conducted. RESULTS: The mean total isoflavone intake in the Korean population aged 1 yrs and older (n = 21,271) was 139.27 mg/d, which was higher than the usual intake of 47.44mg/d. Legumes were a major contributing food group (91%), with arrowroot being a major individual contributor to the isoflavone intake (67.2%), followed by 21.3% of soybean, 5.4% of bean sprouts, and 2.1% of tofu. The usual isoflavone intake was highest in the participants aged 50 to 64 yrs old and increased with age until 50 to 64 yrs and then decreased with further increases in age. The usual isoflavone intake of participants aged 65 yrs and older was higher for men than for women, showing gender differences. CONCLUSIONS: The usual dietary intake of isoflavone varied according to age and gender in the Korean population. This study showed that the usual isoflavone intake was lower than the average isoflavone intake. The difference between percentiles of the usual isoflavone intake was similarly smaller than the average intake. An estimation of average intake can be hindered by the occasional consumption of foods high in isoflavones, suggesting that the usual intake estimation method can be more appropriate. Further research will be needed to establish isoflavone dietary guidelines regarding the effects of isoflavone intake on health outcomes.

Topic Model Augmentation and Extension Method using LDA and BERTopic (LDA와 BERTopic을 이용한 토픽모델링의 증강과 확장 기법 연구)

  • Kim, SeonWook;Yang, Kiduk
    • Journal of the Korean Society for information Management
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    • v.39 no.3
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    • pp.99-132
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    • 2022
  • The purpose of this study is to propose AET (Augmented and Extended Topics), a novel method of synthesizing both LDA and BERTopic results, and to analyze the recently published LIS articles as an experimental approach. To achieve the purpose of this study, 55,442 abstracts from 85 LIS journals within the WoS database, which spans from January 2001 to October 2021, were analyzed. AET first constructs a WORD2VEC-based cosine similarity matrix between LDA and BERTopic results, extracts AT (Augmented Topics) by repeating the matrix reordering and segmentation procedures as long as their semantic relations are still valid, and finally determines ET (Extended Topics) by removing any LDA related residual subtopics from the matrix and ordering the rest of them by F1 (BERTopic topic size rank, Inverse cosine similarity rank). AET, by comparing with the baseline LDA result, shows that AT has effectively concretized the original LDA topic model and ET has discovered new meaningful topics that LDA didn't. When it comes to the qualitative performance evaluation, AT performs better than LDA while ET shows similar performances except in a few cases.

Soil Depth Estimation and Prediction Model Correction for Mountain Slopes Using a Seismic Survey (탄성파 탐사를 활용한 산지사면 토심 추정 및 예측모델 보정)

  • Taeho Bong;Sangjun Im;Jung Il Seo;Dongyeob Kim;Joon Heo
    • Journal of Korean Society of Forest Science
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    • v.112 no.3
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    • pp.340-351
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    • 2023
  • Landslides are major natural geological hazards that cause enormous property damage and human casualties annually. The vulnerability of mountainous areas to landslides is further exacerbated by the impacts of climate change. Soil depth is a crucial parameter in landslide and debris flow analysis, and plays an important role in the evaluation of watershed hydrological processes that affect slope stability. An accurate method of estimating soil depth is to directly investigate the soil strata in the field. However, this requires significant amounts of time and money; thus, numerous models for predicting soil depth have been proposed. However, they still have limitations in terms of practicality and accuracy. In this study, 71 seismic survey results were collected from domestic mountainous areas to estimate soil depth on hill slopes. Soil depth was estimated on the basis of a shear wave velocity of 700 m/s, and a database was established for slope angle, elevation, and soil depth. Consequently, the statistical characteristics of soil depth were analyzed, and the correlations between slope angle and soil depth, and between elevation and soil depth were investigated. Moreover, various soil depth prediction models based on slope angle were investigated, and corrected linear and exponential soil depth prediction models were proposed.

Assessment of the Object Detection Ability of Interproximal Caries on Primary Teeth in Periapical Radiographs Using Deep Learning Algorithms (유치의 치근단 방사선 사진에서 딥 러닝 알고리즘을 이용한 모델의 인접면 우식증 객체 탐지 능력의 평가)

  • Hongju Jeon;Seonmi Kim;Namki Choi
    • Journal of the korean academy of Pediatric Dentistry
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    • v.50 no.3
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    • pp.263-276
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    • 2023
  • The purpose of this study was to evaluate the performance of a model using You Only Look Once (YOLO) for object detection of proximal caries in periapical radiographs of children. A total of 2016 periapical radiographs in primary dentition were selected from the M6 database as a learning material group, of which 1143 were labeled as proximal caries by an experienced dentist using an annotation tool. After converting the annotations into a training dataset, YOLO was trained on the dataset using a single convolutional neural network (CNN) model. Accuracy, recall, specificity, precision, negative predictive value (NPV), F1-score, Precision-Recall curve, and AP (area under curve) were calculated for evaluation of the object detection model's performance in the 187 test datasets. The results showed that the CNN-based object detection model performed well in detecting proximal caries, with a diagnostic accuracy of 0.95, a recall of 0.94, a specificity of 0.97, a precision of 0.82, a NPV of 0.96, and an F1-score of 0.81. The AP was 0.83. This model could be a valuable tool for dentists in detecting carious lesions in periapical radiographs.

A Systematic Review on Intervention of Interactive Metronome: Focus on Single-Subject Research Design in Korean Academic Journals (상호작용식 메트로놈(Interactive Metronome)의 중재에 대한 체계적 고찰: 국내 단일대상연구를 중심으로)

  • Son, Yeong Soo;Choi, Yoo Im
    • Therapeutic Science for Rehabilitation
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    • v.12 no.1
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    • pp.7-22
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    • 2023
  • Objective : This study aimed to confirm the research characteristics and quality of single-subject literature among domestic studies that applied interactive metronome (IM) intervention. Methods : Regarding literature search, 11 single-subject studies using IM were selected from an online database from January 2011 to June 2022. Moreover, the general characteristics and quality of the research method were analyzed. Results : The qualitative level of the analyzed literature was above the moderate level. However, intervention blindness and reliability showed low compliance. The ABA design accounted for the largest proportion of methods. Most of the study participants had attention deficit hyperactivity disorder. Attention, balance, bilateral coordination, and timing were checked as dependent variables. The IM-SFT was used most frequently as an evaluation method. The mediation session applied more than 8-10 interventions for 3-11 weeks. The intervention results in all studies indicated functional improvement after intervention. Conclusion : It might be necessary to expand the application of IM interventions to diverse diseases. In addition, there is a need to study the effect on the participants' quality of life and changes in daily life along with dependent variables such as attention and balance